iPad15,7
Geekbench AI Score
2820
Single Precision Score
3247
Half Precision Score
3034
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
94% |
685
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2355
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9821
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
90% |
859
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
4509
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7775
59.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6384
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17523
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19453
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19083
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2565
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
717
12.4 IPS |
